Sold by: AlphaSense
Deployed on AWS
Since 2011, our platform has helped financial and business professionals make smarter, more informed decisions, quicker, by leveraging AI to deliver insights as synthesized outputs from the worlds most extensive library of public and private content including company filings, event transcripts, news, trade journals, the largest expert transcript database, and equity research.
4.6
Overview
AlphaSense is an AI platform powering smarter, faster decisions for financial & business professionals. Trusted by 6,000+ of the worlds largest companies and financial institutions, AlphaSense combines domain focused agentic AI with the industrys most comprehensive content set over 500 million premium documents, including equity research, earnings calls, Tegus expert insights, filings and news, alongside internal proprietary data. AlphaSenses suite of AI tools includes a Deep Research agent which can perform dozens of searches, parse through thousands of potentially relevant results, and reason over all of it to produce comprehensive, detailed analysis about any topic. If you would like to discuss custom terms and pricing with our team, please contact us at alphasense-marketplace@alpha-sense.com .
Highlights
- Since 2011, our platform has helped financial and business professionals make smarter, more informed decisions, quicker, by leveraging AI to deliver insights as synthesized outputs from the worlds most extensive library of public and private content - including company filings, event transcripts, news, trade journals, the largest expert transcript database, and equity research.
Details
Sold by
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Deployed on AWS
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Dimension | Description | Cost/12 months |
|---|---|---|
Basic access | Contact us directly for Private Offer pricing | $20,000.00 |
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Delivery details
Software as a Service (SaaS)
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Support
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Updated weekly
By AlphaSense
By John Snow Labs
By hyScore.io
Top
10
In Research
Top
10
In Image, Text
Top
10
In Names Entity Recognition - NER, Sentiment Analysis
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Agentic AI Architecture
Domain-focused agentic AI designed to perform multiple sequential searches, parse thousands of results, and reason over comprehensive datasets to produce detailed analysis.
Comprehensive Content Library
Access to over 500 million premium documents including company filings, earnings call transcripts, equity research, news, trade journals, and expert interview database.
Multi-Source Data Integration
Synthesis of insights from public and private content sources including company filings, event transcripts, news, trade journals, expert transcripts, and equity research.
Deep Research Agent Capability
Automated research tool capable of executing dozens of searches, filtering through thousands of potentially relevant results, and generating comprehensive analysis on specified topics.
Internal Data Integration
Support for combining external premium content with internal proprietary data for enhanced analysis and decision-making.
Domain-Specific Pre-trained Models
Access to 1000+ pre-trained models tuned for Finance and Legal verticals, covering entity recognition, entity linking, relations, assertions, text classification, and de-identification tasks.
Scalable NLP Library
Spark NLP library offering 700+ embeddings and 11,000+ pretrained models with support for entity recognition, information extraction, text classification, and translation across multiple languages.
Visual Document Processing
Visual NLP (OCR) software enabling form understanding, table detection and extraction, document classification, entity recognition, signature detection, and image de-identification on unstructured documents.
Finance Domain NLP Capabilities
Finance NLP models supporting financial text classification, financial sentiment analysis, financial Named Entity Recognition, entity-linking to databases such as Edgar and Crunchbase, and financial relation extraction.
Legal Domain NLP Capabilities
Legal NLP models covering Named Entity Recognition, clause information extraction, legal clause classification, legal relationship extraction, entity linking, and legal de-identification across 300+ state-of-the-art models in multiple languages.
Natural Language Processing Capabilities
Named Entity Recognition (NER), keyword extraction with weighted scoring, and text extraction from multiple digital sources
Content Categorization and Classification
Over 750 weighted and scored categories including IAB taxonomy support for website and content classification
Sentiment and Tonality Analysis
Sentiment and tonality detection for analyzed text content
Multi-Language Support
Support for 20+ languages including Chinese, Czech, Dutch, English, Finnish, French, German, Hindi, Hungarian, Italian, Norwegian, Polish, Portuguese, Russian, Spanish, Swedish, Thai, Turkish, and Vietnamese
Real-Time Processing and Scalability
High scalable NLP solution capable of real-time analysis and batch processing with structured JSON response output
Standard contract
No
No
No
Customer reviews
reviewer2783439
Competitor insights have boosted lead conversion and improve targeted outreach
Reviewed on Feb 07, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for AlphaSense is competitor analysis. For competitor analysis, I look for competitor interviews where they could have said something that could reveal important information.
What is most valuable?
The best features AlphaSense offers are how effective it is at finding information. AlphaSense presents interviews and gives me the entire transcripts of certain interviews with a competitor and their potential or existing customers, which makes it very helpful for me to understand what their positives and negatives are.
AlphaSense has positively impacted my organization by helping bring in more leads and tailoring our emails better. I have seen a definite 15% increase in the number of leads that are being converted.
What needs improvement?
I have been using AlphaSense for a few months now, so it is hard to tell or criticize. So far, I cannot find any issues.
For how long have I used the solution?
I have been using AlphaSense for two months.
What other advice do I have?
I would advise others looking into using AlphaSense that it is definitely a tool to look into. I would rate this product a 10 out of 10.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Gambling & Casinos
No-Show Demo and Two Weeks of Silence: A Deeply Unprofessional Experience
Reviewed on Jan 29, 2026
Review provided by G2
What do you like best about the product?
I thought their curated AI-assisted lookup feature was pretty good.
What do you dislike about the product?
They demoed their platform for me. We were set to have a launch 8:30am which required us to rearrange our schedules. Alphasense was a no-show. It's been two weeks and we have not heard back from them after repeated emails to multiple people. Probably the most unprofessional experience I've ever had in nearly 30 years of doing business. Even if the product was perfect, I wouldn't recommend it to anyone.
What problems is the product solving and how is that benefiting you?
It didn't solve any problems because they completely ghosted our team.
Pharmaceuticals
AlphaSense: Smarter Research with Premium Content and Instant, Cited Insights
Reviewed on Jan 26, 2026
Review provided by G2
What do you like best about the product?
I really like AlphaSense because it stands out among similar CI platforms. It brings together an exceptionally large library of premium financial, corporate, and industry content with advanced, context-aware AI search that surfaces highly relevant insights in seconds, saving analysts and consultants significant research time. I also appreciate its generative AI features, which synthesize findings with citations, and the option to integrate internal company documents so everything lives in a single, secure research hub for both proprietary and external information. Overall, these capabilities support faster, more accurate decision-making and make it easier to streamline collaboration across teams.
What do you dislike about the product?
AlphaSense’s main drawbacks, in my experience, are usability and cost. While the platform is very powerful, those features come with a steep learning curve and a complex interface, which makes it difficult for me to refine searches and navigate the large volume of information it returns. The breadth of coverage can also create information overload, so I have to spend extra time filtering and narrowing results to find what I need. At the same time, there is limited data and information on CIS (Russian) and Asian companies. Finally, it is a premium, high‑cost solution, which can make it less accessible for smaller teams or organizations with tight budgets.
What problems is the product solving and how is that benefiting you?
AlphaSense helps me address the challenges of scattered information, slow manual research, and the difficulty of synthesizing large volumes of market and financial data by bringing premium external sources and internal company documents together in a single, AI‑powered research platform. Its advanced search, summarization, and alerting features meaningfully accelerate insight generation and lower the risk of overlooking important developments. As a result, I’m able to make faster, more accurate decisions and maintain a more streamlined, efficient research workflow.
Moha D.
Improvement Required for Scientific Translation
Reviewed on Jan 17, 2026
Review provided by G2
What do you like best about the product?
The initial installation of AlphaSense went smoothly, I encountered no issues.
What do you dislike about the product?
But it could also be improved. Optimize the translation or writing of scientific documents.
What problems is the product solving and how is that benefiting you?
I want to use AlphaSense to read and write scientific articles, but I think the translation and writing could be improved.
Himanshu D.
Consistently Accurate and God-mode Results Every Time
Reviewed on Jan 13, 2026
Review provided by G2
What do you like best about the product?
The output is always accurate and concise for every query.
What do you dislike about the product?
On the rare occasions when I don't receive the output I need,
What problems is the product solving and how is that benefiting you?
Previously, I had to download broker reports and manually search for the information I needed, which would take at least 15 minutes per report. Now, it only takes me 2 minutes to find what I need. Saving 13 minutes per report feels like a game changer—this is truly a god mode product.